SmartBear announced AI enhancements for API testing, UI test automation, and test management across its product suite, the SmartBear Application Integrity Core™.
DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 4 covers cloud and containers.
Start with What Can AIOps Do For DevOps? - Part 1
Start with What Can AIOps Do For DevOps? - Part 2
Start with What Can AIOps Do For DevOps? - Part 3
MANAGING HYBRID CLOUD
In the DevOps life cycle, successful AIOps deployments can help enterprise application teams increase their oversight of hybrid cloud environments and enable DevOps teams to make sense of the copious amount of data that is constantly being generated. The tasks that have been slowing down these teams in the past can now be automated through AI technologies, freeing them to focus on higher-level, mission critical tasks.
Abel GonzalezDirector of Product Marketing, Sumo Logic
Now that applications and cloud services have become foundational to business and the primary mechanism to serve customers, AIOps will play a significant role for DevOps teams in their efforts to improve and optimize app experience continually. Today's modular apps are more distributed than ever, running on a complex network of underlying cloud and Internet infrastructure that traditional app monitoring solutions fail to bridge. AIOps solutions that consider the entire digital supply chain that powers today's apps will provide DevOps teams and developers with the insight they need to baseline and improve performance across all third-party integrations, external networks, and backend dependencies, be it API integrations or cloud-hosted environments, etc. Ultimately, this level of network context and end-to-end performance insight will play a critical role in implementing the large scale feedback loop required to determine what can and should be further automated.
Mike Hicks
Principal Solutions Architect, ThousandEyes
As organizations undergo digital transformations and adopt more agile cloud-based frameworks, AIOps unlocks new processes for IT departments to manage that infrastructure. AIOps is similar to RPA in that it can be leveraged to learn and automate everyday tasks — conserving IT resources and enabling time to be spent on more advanced initiatives. For IT operations, AIOps can surface patterns in infrastructure deployments that empower IT operations with better management and quicker response times.
Ryan Ries
Practice Lead, Data Science and Engineering, Mission
MANAGING CONTAINERS
With the increasing use of containerization, AIOps is critical for IT operations to track all of their deployments and manage new serverless infrastructure.
Ryan Ries
Practice Lead, Data Science and Engineering, Mission
SETTING DYNAMIC THRESHOLDS FOR EACH SERVER
IT Central Station reviewers appreciate being able to use AIOps to set dynamic thresholds for each server.
Russell Rothstein
Founder and CEO, IT Central Station
SECURITY
With the ability of AI/ML taking the manual interaction away from analyzing logs and security events, AIOps/MLOps can offer better turnaround time and better resource scaling while keeping the security posture of applications and APIs at a high level. Vulnerabilities or threats can be mitigated automatically by a well-tuned AI.
Mike Elissen
Developer Advocate, Akamai
AIOps will come in handy especially around security on threat vulnerability management, network security and application security. If AIOps can predict the threats using metadata, the Ops team can be proactive in monitoring those threats and also be ready in case there is a failure.
Vishnu Vasudevan
Head of Product Engineering and Management, Opsera
Industry News
JFrog announced its partnership with iZeno Pte Ltd, a Singapore-headquartered enterprise technology solutions provider.
Red Hat announced an expanded collaboration with Google Cloud to help organizations accelerate application modernization and cloud migrations.
The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the contribution of SQLMesh, an open source data transformation framework, to the Foundation by Fivetran.
Check Point® Software Technologies Ltd. released the AI Factory Security Architecture Blueprint — a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer.
CMD+CTRL Security won the following awards from Cyber Defense Magazine (CDM), the industry’s leading electronic information security magazine: Most Innovative Cybersecurity Training and Pioneering Secure Coding: Developer Upskilling.
Check Point® Software Technologies Ltd. announced the Check Point AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business.
Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced that Istio has launched a host of new features designed to meet the rising needs of modern, AI-driven infrastructure while reducing operational complexity.
Chainguard announced Chainguard Repository, a single Chainguard-managed experience for pulling secure-by-default open source containers, dependencies, OS packages, virtual machine images, CI/CD workflows, and agent skills that have built-in, intelligent policies to enforce enterprise security standards.
Backslash Security announced new cross-product support for agentic AI Skills within its platform, enabling organizations to discover, assess, and apply security guardrails to Skills used across AI-native software development environments.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of Kyverno, a Kubernetes-native policy engine that enables organizations to define, manage and enforce policy-as-code across cloud native environments.
Zero Networks announced the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes clusters.
Apiiro announced AI Threat Modeling, a new capability within Apiiro Guardian Agent that automatically generates architecture-aware threat models to identify security and compliance risks before code exists.
GitLab released GitLab 18.10, making it easier and more affordable to use agentic AI capabilities across the entire software development lifecycle.




